Datasets:

Gallicagram
/

ngram-cairn

w1 int32 1 4.63M	w2 int32 1 4.63M	date int64 1.96k 2.03k	revue stringclasses 647 values	n int64 2 16.5k
1	136	2,008	AATC	6
1	136	2,010	AATC	4
1	136	2,011	AATC	4
1	136	2,012	AATC	2
1	136	2,015	AATC	3
1	136	2,019	AATC	4
1	136	2,021	AATC	4
1	3,425	2,019	AATC	2
1	7,044	2,023	AATC	2
2	60	2,015	CM	2
2	1,015	2,003	PSYE	2
2	1,015	2,013	RFP	2
2	1,015	2,014	BUPSY	2
3	41	2,012	RJE	4
3	41	2,012	SET	2
3	41	2,016	RJE	2
3	50	2,010	EE	4
3	50	2,011	PERS	2
3	201	2,020	BHESV	2
3	755	2,011	ECOFI	2
3	832	2,011	ENTRE	2
3	852	2,023	RFE	2
3	1,015	2,001	RISS	2
3	1,015	2,003	PERS	2
3	1,015	2,005	RDLI	2
3	1,015	2,005	REOF	3
3	1,015	2,006	EE	2
3	1,015	2,006	PERS	2
3	1,015	2,007	EE	2
3	1,015	2,007	REOF	3
3	1,015	2,008	RECO	2
3	1,015	2,008	REOF	4
3	1,015	2,009	EE	2
3	1,015	2,010	EE	7
3	1,015	2,010	PERS	3
3	1,015	2,011	ETAN	2
3	1,015	2,011	MIGRA	2
3	1,015	2,012	EE	4
3	1,015	2,012	PERS	2
3	1,015	2,012	REMI	2
3	1,015	2,013	PE	2
3	1,015	2,013	RPVE	2
3	1,015	2,014	RHD	2
3	1,015	2,016	NRP	2
3	1,015	2,016	RDNA	2
3	1,015	2,016	RPVE	2
3	1,015	2,019	JSO	3
3	1,015	2,019	PERS	2
3	1,015	2,019	RFE	2
3	1,015	2,020	COMM	5
3	1,015	2,020	ECOFI	2
3	1,015	2,020	ESPRI	2
3	1,015	2,020	PINC	2
3	1,015	2,020	RDNA	2
3	1,015	2,020	RLC	2
3	1,015	2,020	SAVO	2
3	1,015	2,023	RIPC	2
3	1,015	2,024	LIG	2
3	1,104	2,020	PERNA	2
3	1,145	2,017	REOF	2
3	1,150	2,007	REOF	2
3	1,229	2,006	NSS	4
3	1,229	2,007	VST	2
3	1,229	2,018	ECRU	2
3	1,311	2,018	PERS	2
3	1,433	2,008	RDLI	2
3	1,433	2,010	EE	2
3	1,575	1,983	CRIS	2
3	1,575	2,001	RERU	4
3	1,575	2,003	ECOI	4
3	1,575	2,004	EE	2
3	1,575	2,004	PERS	2
3	1,575	2,005	RECO	7
3	1,575	2,005	REDP	2
3	1,575	2,005	REOF	2
3	1,575	2,006	EE	3
3	1,575	2,006	LECO	2
3	1,575	2,007	EE	2
3	1,575	2,008	DEBA	2
3	1,575	2,008	ECOI	2
3	1,575	2,008	GEOEC	2
3	1,575	2,008	PE	4
3	1,575	2,008	PERS	2
3	1,575	2,008	RCE	14
3	1,575	2,009	EE	5
3	1,575	2,009	RECO	3
3	1,575	2,009	REOF	3
3	1,575	2,010	EE	2
3	1,575	2,011	ECOFI	6
3	1,575	2,011	EE	6
3	1,575	2,011	MAV	3
3	1,575	2,011	RPVE	7
3	1,575	2,012	GEOEC	2
3	1,575	2,013	ECOFI	3
3	1,575	2,013	PERS	3
3	1,575	2,014	ECOFI	2
3	1,575	2,014	REOF	3
3	1,575	2,014	RFFP	3
3	1,575	2,015	ECOFI	5
3	1,575	2,015	NCAE	4

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Gallicagram - n-grammes du corpus "cairn"

Tables n-grammes encodées en identifiants entiers (w1, w2, ...) ; le dictionnaire est dans token (id, word). Les tables total_* donnent les effectifs totaux pour normaliser les fréquences.

Exemple (DuckDB) :

SELECT t.word, u.annee, sum(u.n) AS n
FROM 'hf://datasets/Gallicagram/ngram-cairn/unigram/*.parquet' u
JOIN 'hf://datasets/Gallicagram/ngram-cairn/token/*.parquet' t ON t.id = u.w1
WHERE t.word = 'république'
GROUP BY ALL ORDER BY annee;

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